code: def test_mnist_distributed_cpu(
      sagemaker_session,
      cpu_instance_type,
      tensorflow_training_latest_version,
      tensorflow_training_latest_py_version,
  ):
      _create_and_fit_estimator(
          sagemaker_session,
          tensorflow_training_latest_version,
          tensorflow_training_latest_py_version,
          cpu_instance_type,
      )
  
imports: from __future__ import absolute_import
  import numpy
  import os
  import time
  import pytest
  from sagemaker.serverless import ServerlessInferenceConfig
  from sagemaker.tensorflow import TensorFlow, TensorFlowProcessor, TensorFlowModel
  from sagemaker.utils import unique_name_from_base, sagemaker_timestamp
  import tests.integ
  from tests.integ import DATA_DIR, TRAINING_DEFAULT_TIMEOUT_MINUTES, kms_utils, timeout
  from tests.integ.retry import retries
  from tests.integ.utils import gpu_list, retry_with_instance_list
  from tests.integ.s3_utils import assert_s3_file_patterns_exist
  from packaging.version import Version
label_desc: Use image node_id 5 for calling a global function with example usage: test_mnist_distributed_cpu(sagemaker_session, cpu_instance_type, tensorflow_training_latest_version, tensorflow_training_latest_py_version) without return types